And if you're on Linux / MacOS just build and run Tinn with the test file:

make; ./tinn

If you're on Windows it's:

mingw32-make & tinn.exe

The training data consists of hand written digits written both slowly and quickly.
Each line in the data set corresponds to one handwritten digit. Each digit is 16x16 pixels in size
giving 256 inputs to the neural network.

This gives 10 outputs to the neural network. The test program will output the
accuracy for each digit. Expect above 99% accuracy for the correct digit, and
less that 0.1% accuracy for the other digits.